AltAPIs

nimaafraz/scigenre

AI model by nimaafraz

Open original source ↗

Older snapshot: check the original source for current information.

From the publisher

Model card & documentation

Source preview

Read the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.

SciGenre classifies a scientific paper as a survey (a paper whose main contribution is an overview of existing work, including tutorials and overview articles) or as a research paper, from its title and abstract alone. It is the classifier of the paper The Survey Dividend: How Citation Metrics Reward Synthesis over Discovery (Nighot and Afraz). classification head on the [CLS] token for one epoch (learning rate 2e-5, batch size 16, weight decay 0.01, 10% warm-up, class-weighted cross-entropy, inputs truncated at 384 tokens, seed 42), in full precision on one NVIDIA L40S (11 minutes). model never sees the venue. Papers without an abstract of at least ten words should not be classified. All papers of 18 survey venues (ACM Computing Surveys from 2000, IEEE Communications Surveys & Tutorials, Computer Science Review, the Annual Review of Control, Robotics, and Autonomous Systems, and the Foundations and Trends series) and 14 research venues (letters…

nimaafraz/scigenre on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-27T21:18:51.382Z

Inside the original model card — Document outline
  1. SciGenre
  2. Model
  3. Training data
  4. Performance
  5. Usage
  6. Intended use and limitations
  7. Attribution
  8. Citation

Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.

Documentation belongs to its respective authors. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

nimaafraz/scigenre is a task-unspecified model repository published by nimaafraz on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
Not reported
Library
Not reported
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
Not reported — check the model card
Access
Not gated by Hugging Face
Created
2026-10-15T06:34:17.000Z
Last modified
2026-10-15T06:34:17.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.

Model card and usage instructions

Model files and configuration

Community discussion

Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-15T06:42:18.893Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

Open original source

Related models